Evidence map›Paper›PMID 29481562›Full record

ArticlePLoS computational biology2018

Mathematical modelling of the antibiotic-induced morphological transition of Pseudomonas aeruginosa.

Chloe Spalding, Emma Keen, David J Smith, Anne-Marie Krachler, Sara Jabbari

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. PathogenicAntibiotics (Basel, Switzerland) · 2020
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Chloe SpaldingSchool of Mathematics, University of Birmingham, Edgbaston Campus, Birmingham, United Kingdom.ORCID 0000-0002-1809-8144
Emma KeenInstitute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston Campus, Birmingham, United Kingdom.
David J SmithSchool of Mathematics, University of Birmingham, Edgbaston Campus, Birmingham, United Kingdom.
Anne-Marie KrachlerDepartment of Microbiology and Molecular Genetics, University of Texas McGovern Medical School at Houston, Houston, Texas, United States of America.ORCID 0000-0002-0936-0016
Sara JabbariSchool of Mathematics, University of Birmingham, Edgbaston Campus, Birmingham, United Kingdom.ORCID 0000-0001-5235-0406
University of Birmingham · GB

Funding

Mechanoregulation of EHEC virulenceR01AI132354 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Anne-Marie Krachler · 2018 to 2026
$3.5M
NIAID NIH HHS R01 AI132354Wellcome Trust
6 · The paper itself

Abstract

Here we formulate a mechanistic mathematical model to describe the growth dynamics of P. aeruginosa in the presence of the β-lactam antibiotic meropenem. The model is mechanistic in the sense that carrying capacity is taken into account through the dynamics of nutrient availability rather than via logistic growth. In accordance with our experimental results we incorporate a sub-population of cells, differing in morphology from the normal bacillary shape of P. aeruginosa bacteria, which we assume have immunity from direct antibiotic action. By fitting this model to experimental data we obtain parameter values that give insight into the growth of a bacterial population that includes different cell morphologies. The analysis of two parameters sets, that produce different long term behaviour, allows us to manipulate the system theoretically in order to explore the advantages of a shape transition that may potentially be a mechanism that allows P. aeruginosa to withstand antibiotic effects. Our results suggest that inhibition of this shape transition may be detrimental to bacterial growth and thus suggest that the transition may be a defensive mechanism implemented by bacterial machinery. In addition to this we provide strong theoretical evidence for the potential therapeutic strategy of using antimicrobial peptides (AMPs) in combination with meropenem. This proposed combination therapy exploits the shape transition as AMPs induce cell lysis by forming pores in the cytoplasmic membrane, which becomes exposed in the spherical cells.

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic Peptidesbeta-LactamasesCytoplasmHumansMeropenemMicrobial Sensitivity TestsMicroscopy, FluorescenceModels, TheoreticalPhenotypePseudomonas aeruginosaPseudomonas InfectionsThienamycinsAnti-Bacterial AgentsAntimicrobial Cationic Peptidesbeta-LactamasesMeropenemThienamycins

Identifiers

PMID29481562
PMCPMC5843380
OpenAlexW2794026283

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.